Collating and intelligently sequencing installation documentation

ABSTRACT

A computer-implemented method for collating and intelligent sequencing of installation documentation includes parsing one or more product installation documents to identify annotations associated with installation procedures. Installation procedure descriptions, parameters, and prerequisites associated with the identified annotations are extracted, and prescriptive step-by-step installation instructions that integrate installation procedures contained within the one or more installation documents are generated.

BACKGROUND

The present invention relates generally to the field of installationdocumentation, and more particularly to collating and intelligentsequencing of installation documentation. When installing a solutioncomprised of multiple products, installed and integrated together, thereis typically no single documentation source describing the steps toperform a full installation of the solution. Each product provides itsown set of installation steps with variations for version, operatingsystem, product features, and other considerations. When multipleproducts are installed with the intent of integrating them together,there are dependencies between the products that affect the order andsteps involved in the installation.

SUMMARY

Embodiments in accordance with the present invention disclose a method,computer program product, and system for collating and intelligentsequencing of installation documentation. In an embodiment, the methodincludes parsing one or more product installation documents to identifyannotations associated with installation procedures. Installationprocedure descriptions, parameters, and prerequisites associated withthe identified annotations are extracted, and prescriptive step-by-stepinstallation instructions that integrate installation procedurescontained within the one or more installation documents are generated.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a functional block diagram illustrating a data processingenvironment, in an embodiment in accordance with the present invention.

FIG. 2 illustrates operational steps of generating a solutioninstallation document, from three product installation documents, withinthe data processing environment of FIG. 1, in an embodiment inaccordance with the present invention.

FIG. 3 illustrates operational steps of an intelligent collator program,generating an installation documentation for a solution through theprocessing of embedded tags within the data processing environment ofFIG. 1, in an embodiment in accordance with the present invention.

FIG. 4 illustrates operational steps of an intelligent collator program,generating prescriptive step-by-step instructions by combining relatedtags and sequencing instructions to ensure prerequisite instructions areperformed first within the data processing environment of FIG. 1, in anembodiment in accordance with the present invention.

FIG. 5 is a flow chart depicting the operational steps of theintelligent collator generating a step-by-step solution for multipleproducts, in an embodiment in accordance with the present invention.

FIG. 6 depicts a block diagram of components of the computer executingthe intelligent collator program, in an embodiment in accordance withthe present invention.

DETAILED DESCRIPTION

Embodiments in accordance with the present invention recognize that theprocess of installing a solution made up of multiple products installedand integrated together may be facilitated by a method for generating asingle set of installation instructions for the solution, derived fromeach individual product's installation instructions. A system capable ofimplementing this method takes prescriptive step-by-step installationinstructions from multiple products and combines them into prescriptivestep-by-step installation instructions for the solution. This set ofmaster installation instructions for the solution is structured to takeinto consideration common tasks and prerequisites. All products in asolution might require the creation of a common set of resources such asdatabase tables, message queues, and resource adapters. These tasks aregrouped so the master installation instructions perform each of thesetasks together—all database tables are created, then all message queues,and so forth. The master installation instructions also consider whetherone task must be performed before another, and sequence the installationinstructions accordingly.

Embodiments in accordance with the present invention will now bedescribed in detail with reference to the figures. FIG. 1 is afunctional block diagram, generally designated 100, illustrating a dataprocessing environment, in an embodiment in accordance with the presentinvention.

Intelligent collating environment 100 includes computer 102, network120, and solution server 122, all interconnected over network 120.Computer 102 may be a Web server, or any other electronic device orcomputing system, capable of processing program instructions andreceiving and sending data. In some embodiments, computer 102 may be alaptop computer, a tablet computer, a netbook computer, a personalcomputer (PC), a desktop computer, a personal digital assistant (PDA), asmart phone, or any programmable electronic device capable ofcommunicating over a data connection to network 120. In otherembodiments, computer 102 may represent server computing systemsutilizing multiple computers as a server system, such as in adistributed computing environment. In general, computer 102 isrepresentative of any electronic devices or combinations of electronicdevices capable of executing machine-readable program instructions.

Computer 102 includes user interface 104, random access memory (RAM)106, a central processing unit 108, and persistent storage 110. Userinterface 104 provides an interface between a user of computer 102 andsolution server 122 over a data connection on network 120. Userinterface 104 may be a graphical user interface (GUI) or a web userinterface (WUI) and can display text, documents, web browser windows,user options, application interfaces, and instructions for operation,and includes the information (such as graphic, text, and sound) that aprogram presents to a user and the control sequences the user employs tocontrol the program. User interface 104 may also be mobile applicationsoftware that provides an interface between a user of computer 102 andsolution server 122 over a data connection on network 120. Mobileapplication software, or an “app,” is a computer program designed to runon smart phones, tablet computers and other mobile devices. Userinterface 104 enables a user of computer 102 to combine multipleinstallation documents into a single prescriptive step-by-stepinstallation document for products to be installed on solution server122.

Computer 102 includes persistent storage 110. Persistent storage 110may, for example, be a hard disk drive. Alternatively, or in addition toa magnetic hard disk drive, persistent storage 110 may include a solidstate hard drive, a semiconductor storage device, read-only memory(ROM), erasable programmable read-only memory (EPROM), flash memory, orany other computer-readable storage medium that is capable of storingprogram instructions or digital information. Intelligent collator 112,install document “A” 114, install document “B” 116, and install document“C” 118 are stored in persistent storage 110, which also includesoperating system software, as well as software that enables computer 102to communicate with solution server 122 over a data connection onnetwork 120. Intelligent collator 112 is an application that generates asingle set of installation instructions for a solution, derived frommultiple product installation instructions, and can send and receivedata over a network, e.g., network 120, or any other viable datanetwork. There can be many more computers and solution server computersin this environment than are depicted in FIG. 1.

In FIG. 1, network 120 is shown as the interconnecting fabric betweencomputer 102 and solution server 122. In practice, the connection may beany viable data transport network, such as, for example, a local areanetwork (LAN) or wide area network (WAN). Network 120 can be, forexample, a LAN, a WAN such as the Internet, or a combination of the two,and include wired, wireless, or fiber optic connections. In general,network 120 can be any combination of connections and protocols thatwill support communications between computer 102 and solution server 122in accordance with a desired embodiment of the invention.

Solution server 122 is also included in intelligent collatingenvironment 100. Solution server 122 includes RAM 124, a centralprocessing unit 126, and persistent storage 128. Persistent storage 128may, for example, be a hard disk drive. Alternatively, or in addition toa magnetic hard disk drive, persistent storage 128 can include a solidstate hard drive, a semiconductor storage device, read-only memory(ROM), erasable programmable read-only memory (EPROM), flash memory, orany other computer-readable storage medium that is capable of storingprogram instructions or digital information. Solution server 122 may bea laptop computer, tablet computer, netbook computer, personal computer(PC), a desktop computer, a personal digital assistant (PDA), a smartphone, or any programmable electronic device capable of communicatingwith computer 102 via network 120 and with various components anddevices within intelligent collating environment 100. Persistent storage128 includes application “A” 130, application “B” 132, and application“C” 134. Server applications 130, 132, and 134 are any computerapplication, such as a web server, that can send and receive data over anetwork, e.g., network 120, or any other viable data network. There canbe many more solution server computers in this environment than aredepicted in FIG. 1.

FIG. 2, generally designated 200, illustrates operational steps ofgenerating a solution installation document, from three productinstallation documents, within the data processing environment of FIG.1, in an embodiment in accordance with the present invention. A user ofcomputer 102 scans product “A” installation documentation 202, product“B” installation documentation 212, and product “C” installationdocumentation 222 into intelligent collator 112 to create solutioninstallation documentation 234. Each installation document containstasks and procedure steps required to install the product onto acomputer system. Product “A” installation documentation 202 containssteps to install binaries 204, create a database named “Store” with atable named “Table A” 206, create message queue named “Queue A” 208, andcreate resource adapter named “RA-A” 210. In another embodiment, productinstallation documents may be transmitted to computer 102 from anothercomputer or device over a data connection on network 120. In otherembodiments, product installation documents may be transferred tocomputer 102 via a magnetic hard disk drive, a solid state hard drive, asemiconductor storage device, read-only memory (ROM), erasableprogrammable read-only memory (EPROM), flash memory, or any othercomputer-readable storage medium that is capable of storing digitalinformation.

Some installation documents may vary slightly from others. For example,product “B” installation documentation 212 contains steps to installbinaries 214, create a message queue named “Queue B” 216, create adatabase named “Repos” with a table named “Table B” 218, and createresource adapter named “RA-B” 220. Product “C” installationdocumentation 222 contains steps to install binaries 224, installSupport Pac “A” 226, create a database named “Store” with a table named“Table C” 228, create message queue named “Queue C” 230, and createresource adapter named “RA-C” 232.

Product “A” installation documentation 202 and product “C” installationdocumentation 222 both contain overlapping procedures that require adatabase table named “store” to be created as depicted in steps 206 and228. Product “A” installation documentation 202 requires a table named“Table A” to be created in this database, and product “C” installationdocumentation 222 requires a table named “Table C”. In addition to theoverlapping procedures, there are also prerequisite conditions that mustbe met as well. Product “C” installation documentation 222 requiresSupport Pac “A” 226 to be installed. However Support Pac “A” 226 must beinstalled before product “B” installation documentation 212.

Intelligent collator 112 analyzes each set of product installationinstructions and generates a set of prescriptive step-by-stepinstallation instructions to install the solution as depicted in 250. Inone example embodiment, the original authors of product “A” installationdocumentation 202, product “B” installation documentation 212, andproduct “C” installation documentation 222 may include annotations inthe product documentation through tags and name/value pairs thatdescribes each procedure in the documentation, and the parameters andprerequisites of each procedure. These annotations may be shipped withthe documentation. An Extensible Markup Language (XML) data model suchas Darwin Information Typing Architecture (DITA) is used to store theannotations. Darwin Information Typing Architecture is an XML data modelfor authoring. Extensible Markup Language is a markup language thatdefines a set of rules for encoding documents in a format which is bothhuman-readable and machine-readable. Generated solution installationdocumentation 234 contains steps to install binaries from product “A”and product “C” 236, install Support Pac “A” 238, install binaries fromproduct “B” 240, create a database named “Store” with a table named“Table C” 242, create a database named “Repos” with a table named “TableB” 244, create message queues named “Queue A”, “Queue B”, and “Queue C”246, and create resource adapters named “RA-A”, “RA-B”, and “RA-C” 248.

Generated solution installation documentation 234 accommodates commontasks, such as creating multiple tables in the same database.Intelligent collator 112 then groups these tasks together. For example,databases, messages queues, and resource adapters required for eachproduct installation are grouped into a common set of instructions.Prerequisite tasks that require one task to be completed before anotherare performed in the required order, for example, Support Pac “A” 238 isinstalled before installing binaries for product “B” 240. Details of thesolution installation documentation generation are described in greaterdetail with regard to FIG. 5.

FIG. 3, generally designated 300, illustrates operational steps of anintelligent collator program, generating installation documentation fora solution through the processing of embedded tags within the dataprocessing environment of FIG. 1, in an embodiment in accordance withthe present invention. Intelligent collator 112 generates installationdocumentation for a solution through the processing of tags. Product “A”installation documentation 302 is embedded with tags that group togetherprocedures of installation instructions. The tags define a name for eachprocedure (i.e., “create_database” and “create_messageq”) and a set ofname/value pairs stating the variables of how the procedure is executed(e.g., the name of a database table or message queue to create) asdepicted in 304 and 306. Prerequisites (i.e., prior steps that mustfirst be completed) are also defined.

FIG. 4, generally designated 400, illustrates operational steps of anintelligent collator program, generating prescriptive step-by-stepinstructions by extracting and combining related tags and sequencinginstructions to ensure prerequisite instructions are performed firstwithin the data processing environment of FIG. 1, in an embodiment inaccordance with the present invention. Intelligent collator 112 embedsthe product installation documentation with tags to group togetherprocedures of installation instructions as described in the discussionof FIG. 3 above. Intelligent collator 112 generates prescriptivestep-by-step instructions for solution installation documentation 408 bycombining related tags 402, 404, and 408, and sequencing theinstructions so that prerequisite tasks are performed first. Forexample, the “create_database” procedure for programs “A” 402 andprogram “C” 406 create a table (e.g., “Table A” and “Table C”) in thesame database named “Store”. The installation instructions for program“A” 402 and program “C” 406 both contain steps to create this database,but it would be invalid to create the same database twice. The systemcompares the name/value pairs for “create_database” and generates a setof instructions that creates the database only once, and then providesadditional instructions to create each table in the database. The“create_database” procedure for program “B” 404 is then performed oncethe prerequisite tasks are completed.

FIG. 5 is a flow chart, generally designated 500, depicting theoperational steps of the intelligent collator generating a step-by-stepsolution for multiple products, in an embodiment in accordance with thepresent invention. A user of computer 102 scans product installationdocument “A” 114, product installation document “B” 116, and productinstallation document “C” 118 into intelligent collator 112 as depictedin step 502. In other embodiments, product installation documents may beinputted into intelligent collator 112 via a portable computer diskette,a hard disk, a random access memory (RAM), a read-only memory (ROM), anerasable programmable read-only memory (EPROM or Flash memory), a staticrandom access memory (SRAM), a portable compact disc read-only memory(CD-ROM), a digital versatile disk (DVD), a memory stick, or a floppydisk.

Intelligent collator 112 analyzes the product installation documents andgenerates prescriptive step-by-step installation instructions asdepicted in step 504. In an example embodiment, a user who is not theoriginal documentation author annotates product “A” installationdocumentation 202, product “B” installation documentation 212, andproduct “C” installation documentation 222 with tags and name/valuepairs on a local copy of the documentation. These annotations may beadded in any structured data model such as XML. In another exampleembodiment, annotations of tags and name/value pairs are createdautomatically through Natural Language Processing (NLP). NLP examinesthe text, looking for procedure names. When procedures are identifiedNLP identifies parameters and prerequisites defined for each procedure.These annotations can be added in any structured data model such as XML.The analysis in step 504 uses a simple set of rules to generate thesolution documentation.

Intelligent collator 112 uses a set of rules to analyze each procedurein product “A” installation documentation 202, product “B” installationdocumentation 212, and product “C” installation documentation 222. Inone example embodiment, intelligent collator 112 may determine if thecurrent procedure has any prerequisite procedures or is the currentprocedure a prerequisite for any other procedures. In another exampleembodiment, intelligent collator 112 may check to see if the currentprocedure can be combined with other related procedures.

The generated prescriptive step-by-step install instructions groupcommon tasks, such as creating multiple tables in the same database. Anexample of this would be grouping databases, messages queues, andresource adapters required for each product installation into a commonset of instructions. Prerequisite tasks that require one task to beperformed before another are performed in the required order. An exampleof this would be placing the instructions to install Support Pac “A” 226before the instructions to install product “B” 212.

Once the prescriptive step-by-step install instructions are generatedfor the given product installation document, intelligent collator 112checks to see if there are more installation documents to analyze andgenerate prescriptive step-by-step install instructions for as depictedin decision 506. If there are more installation documents, (“yes”branch, decision 506), intelligent collator 112 retrieves the nextdocument as depicted in step 508 and step 504 is repeated. If there nomore installation documents, (“no” branch, decision 506), intelligentcollator 112 groups the common tasks together and embeds tags in thegenerated installation document as depicted in step 510 and illustratedin FIG. 3. The tags group together related procedures in theinstallation instructions. Intelligent collator 112 then defines a namefor each procedure (e.g., “create_database”, “create_messageq”) and aset of name/value pairs stating the variables of how the procedure isexecuted (e.g., the name of a database table or message queue tocreate). In step 512, intelligent collator 112 groups prerequisite taskstogether and embeds them with tags as well. Prerequisite tasks are priorsteps that must be completed first before others, such as installingSupport Pac “A” 226 before installing product “B” 212.

Intelligent collator 112 then generates a combined solution installationdocument by combining the generated step-by-step installationinstructions generated in step 504 as depicted in step 514. Intelligentcollator then combines related tags as illustrated in FIG. 4 anddepicted in step 516. For example, the “create_database” procedure forprograms “A” 402 and program “C” 406 create a table (e.g., “Table A” and“Table C”) in the same database named “Store”. The installationinstructions for programs “A” 402 and program “C” 406 both contain stepsto create this database, but it would be invalid to create the samedatabase twice. The system compares the name/value pairs for“create_database” and generates a set of instructions that creates thedatabase only once, and then provides additional instructions to createeach table in the database. The “create_database” procedure for program“B” 404 is then performed once the prerequisite tasks are completed. Instep 518, intelligent collator 112 sequences the instructions to ensureprerequisite tasks are performed first as seen in solution installationdocumentation 234 of FIG. 2.

FIG. 6 depicts a block diagram, generally designated 600, of componentsof the computer executing the intelligent collator program, in anembodiment in accordance with the present invention. It should beappreciated that FIG. 6 provides only an illustration of oneimplementation and does not imply any limitations with regard to theenvironments in which different embodiments may be implemented. Manymodifications to the depicted environment may be made.

Computer 102 includes communications fabric 602, which providescommunications between computer processor(s) 604, memory 606, persistentstorage 608, communications unit 610, and input/output (I/O)interface(s) 612. Communications fabric 602 can be implemented with anyarchitecture designed for passing data and/or control informationbetween processors (such as microprocessors, communications and networkprocessors, etc.), system memory, peripheral devices, and any otherhardware components within a system. For example, communications fabric602 can be implemented with one or more buses.

Memory 606 and persistent storage 608 are computer readable storagemedia. In this embodiment, memory 606 includes random access memory(RAM) 614 and cache memory 616. In general, memory 606 can include anysuitable volatile or non-volatile computer readable storage media.

Intelligent collator 112, install document “A” 114, install document “B”116, and install document “C” 118 are stored in persistent storage 608for execution by one or more of the respective computer processors 604via one or more memories of memory 606. In this embodiment, persistentstorage 608 includes a magnetic hard disk drive. Alternatively, or inaddition to a magnetic hard disk drive, persistent storage 608 caninclude a solid state hard drive, a semiconductor storage device,read-only memory (ROM), erasable programmable read-only memory (EPROM),flash memory, or any other computer readable storage media that iscapable of storing program instructions or digital information.

The media used by persistent storage 608 may also be removable. Forexample, a removable hard drive may be used for persistent storage 608.Other examples include optical and magnetic disks, thumb drives, andsmart cards that are inserted into a drive for transfer onto anothercomputer readable storage medium that is also part of persistent storage608.

Communications unit 610, in these examples, provides for communicationswith other data processing systems or devices, including resources ofnetwork 120 and solution server 122. In these examples, communicationsunit 610 includes one or more network interface cards. Communicationsunit 610 may provide communications through the use of either or bothphysical and wireless communications links. Intelligent collator 112,install document “A” 114, install document “B” 116, and install document“C” 118 may be downloaded to persistent storage 608 throughcommunications unit 610.

I/O interface(s) 612 allows for input and output of data with otherdevices that may be connected to computer 102. For example, I/Ointerface 612 may provide a connection to external devices 618 such as akeyboard, keypad, a touch screen, and/or some other suitable inputdevice. External devices 618 can also include portable computer readablestorage media such as, for example, thumb drives, portable optical ormagnetic disks, and memory cards. Software and data used to practiceembodiments of the present invention, e.g., intelligent collator 112,can be stored on such portable computer readable storage media and canbe loaded onto persistent storage 608 via I/O interface(s) 612. I/Ointerface(s) 612 also connect to a display 620.

Display 620 provides a mechanism to display data to a user and may be,for example, a computer monitor.

The programs described herein are identified based upon the applicationfor which they are implemented in a specific embodiment of theinvention. However, it should be appreciated that any particular programnomenclature herein is used merely for convenience, and thus theinvention should not be limited to use solely in any specificapplication identified and/or implied by such nomenclature.

The present invention may be a system, a method, and/or a computerprogram product. The computer program product may include a computerreadable storage medium (or media) having computer readable programinstructions thereon for causing a processor to carry out aspects of thepresent invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as Smalltalk, C++ or the like, andconventional procedural programming languages, such as the “C”programming language or similar programming languages. The computerreadable program instructions may execute entirely on the user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).In some embodiments, electronic circuitry including, for example,programmable logic circuitry, field-programmable gate arrays (FPGA), orprogrammable logic arrays (PLA) may execute the computer readableprogram instructions by utilizing state information of the computerreadable program instructions to personalize the electronic circuitry,in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

What is claimed is:
 1. A method for collating and intelligent sequencingof installation documentation, the method comprising: automaticallycreating, by one or more processors, annotations that include one ormore tags and name/value pairs, through natural language processing(NLP), wherein an NLP engine examines one or more product installationdocuments, searching for procedure names; identifying, by one or moreprocessors, parameters and prerequisites associated with the procedurenames to generate complete annotations; and inserting, by one or moreprocessors, the complete annotations into the one or more productinstallation documents using a structured data model.
 2. The method ofclaim 1, further comprising: responsive to the inserting, parsing, byone or more processors, the one or more product installation documentsto identify annotations within the one or more product installationdocuments associated with installation procedures; and extracting, byone or more processors, installation procedure descriptions, parameters,and prerequisites associated with the identified annotations.
 3. Themethod of claim 2, further comprising: generating, by one or moreprocessors, prescriptive step-by-step installation instructions thatintegrate installation procedures contained within the one or moreproduct installation documents.
 4. The method of claim 2, whereinextracting, by one or more processors, installation proceduredescriptions, parameters, and prerequisites associated with theidentified annotations further comprises: analyzing, by one or moreprocessors, the identified annotations in the one or more productinstallation documents to extract one or more tags and name/value pairsthat describe each procedure in the one or more product installationdocuments, and the parameters and prerequisites of each procedure. 5.The method of claim 4, wherein analyzing, by one or more processors, theidentified annotations in the one or more product installation documentsfurther comprises: determining, by one or more processors, a set ofrelated tasks in the one or more product installation documents;arranging, by one or more processors, the set of related tasks into aset of grouped tasks; and tagging, by one or more processors, the set ofgrouped tasks, wherein the tags define the name/value pairs associatedwith the identified annotations.
 6. The method of claim 3, whereingenerating, by one or more processors, prescriptive step-by-stepinstallation instructions that integrate installation procedurescontained within the one or more installation documents furthercomprises: grouping, by one or more processors, the installationprocedures contained within the one or more installation documents intoa set of grouped tasks.
 7. The method of claim 6, wherein grouping, byone or more processors, the installation procedures contained within theone or more installation documents into a set of grouped tasks furthercomprises: determining, by one or more processors, a set of prerequisitetasks within the one or more installation documents; and arranging, byone or more processors, the set of prerequisite tasks into the set ofgrouped tasks, such that the set of prerequisite tasks is sequenced inproper order of installation.
 8. A computer program product forcollating and intelligent sequencing of installation documentation, thecomputer program product comprising: one or more computer readablestorage media and program instructions stored on the one or morecomputer readable storage media, the program instructions comprising:program instructions to automatically create annotations that includeone or more tags and name/value pairs, through natural languageprocessing (NLP), wherein an NLP engine examines one or more productinstallation documents, searching for procedure names; programinstructions to identify parameters and prerequisites associated withthe procedure names to generate complete annotations; and programinstructions to insert the complete annotations into the one or moreproduct installation documents using a structured data model.
 9. Thecomputer program product of claim 8 further comprising: programinstructions to, responsive to the inserting, parse the one or moreproduct installation documents to identify annotations within the one ormore product installation documents associated with installationprocedures; and program instructions to extract installation proceduredescriptions, parameters, and prerequisites associated with theidentified annotations.
 10. The computer program product of claim 9,further comprising: program instructions to generate prescriptivestep-by-step installation instructions that integrate installationprocedures contained within the one or more product installationdocuments.
 11. The computer program product of claim 9, wherein programinstructions to extract installation procedure descriptions, parameters,and prerequisites associated with the identified annotations furthercomprise: program instructions to analyze the identified annotations inthe one or more product installation documents to extract one or moretags and name/value pairs that describe each procedure in the one ormore product installation documents, and the parameters andprerequisites of each procedure.
 12. The computer program product ofclaim 11, wherein program instructions to analyze the identifiedannotations in the one or more product installation documents furthercomprise: program instructions to determine a set of related tasks inthe one or more product installation documents; program instructions toarrange the set of related tasks into a set of grouped tasks; andprogram instructions to tag the set of grouped tasks, wherein the tagsdefine the name/value pairs associated with the identified annotations.13. The computer program product of claim 10, wherein programinstructions to generate prescriptive step-by-step installationinstructions that integrate installation procedures contained within theone or more installation documents further comprise: programinstructions to group the installation procedures contained within theone or more installation documents into a set of grouped tasks.
 14. Thecomputer program product of claim 13, wherein program instructions togroup the installation procedures contained within the one or moreinstallation documents into a set of grouped tasks further comprise:program instructions to determine a set of prerequisite tasks within theone or more installation documents; and program instructions to arrangethe set of prerequisite tasks into the set of grouped tasks, such thatthe set of prerequisite tasks is sequenced in proper order ofinstallation.
 15. A computer system for collating and intelligentsequencing of installation documentation, the computer systemcomprising: one or more computer processors; one or more computerreadable storage media; program instructions stored on the computerreadable storage media for execution by at least one of the one or moreprocessors, the program instructions comprising: program instructions toautomatically create annotations that include one or more tags andname/value pairs, through natural language processing (NLP), wherein anNLP engine examines one or more product installation documents,searching for procedure names; program instructions to identifyparameters and prerequisites associated with the procedure names togenerate complete annotations; and program instructions to insert thecomplete annotations into the one or more product installation documentsusing a structured data model.
 16. The computer system of claim 15further comprising: program instructions to, responsive to theinserting, parse the one or more product installation documents toidentify annotations within the one or more product installationdocuments associated with installation procedures; and programinstructions to extract installation procedure descriptions, parameters,and prerequisites associated with the identified annotations.
 17. Thecomputer system of claim 16, further comprising: program instructions togenerate prescriptive step-by-step installation instructions thatintegrate installation procedures contained within the one or moreproduct installation documents.
 18. The computer system of claim 16,wherein program instructions to extract installation proceduredescriptions, parameters, and prerequisites associated with theidentified annotations further comprise: program instructions to analyzethe identified annotations in the one or more product installationdocuments to extract one or more tags and name/value pairs that describeeach procedure in the one or more product installation documents, andthe parameters and prerequisites of each procedure.
 19. The computersystem of claim 18, wherein program instructions to analyze theidentified annotations in the one or more product installation documentsfurther comprise: program instructions to determine a set of relatedtasks in the one or more product installation documents; programinstructions to arrange the set of related tasks into a set of groupedtasks; and program instructions to tag the set of grouped tasks, whereinthe tags define the name/value pairs associated with the identifiedannotations.
 20. The computer system of claim 17, wherein programinstructions to generate prescriptive step-by-step installationinstructions that integrate installation procedures contained within theone or more installation documents further comprise: programinstructions to group the installation procedures contained within theone or more installation documents into a set of grouped tasks.